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ISSN 2063-5346
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Design and Implementation of Smart Prosthetic Hand Using Artificial Intelligence

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Kavyanjali R, Mo Imran, Nalliboyina Yuva Raja Phani Kumar, Maria Dayana L.N., Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath
» doi: 10.48047/ecb/2023.12.si4.1234

Abstract

This research paper presents a comprehensive examination of a computational approach for controlling a robotic arm through brain, gesture, and voice signals. The human brain, consisting of numerous neurons, forms the basis for an Electroencephalogram (EEG) based Brain-Computer Interface (BCI) prosthetic arm. This non-invasive technique holds great potential in assisting individuals with severe disabilities in their daily lives, particularly by facilitating voluntary arm movement. The Brainsense headset captures EEG signals from the brain, which are then processed by a microcontroller to control servo motors and manipulate the prosthetic hand accordingly. Additionally, the system incorporates a glove controller that emulates natural gestures, utilizing flex sensors to facilitate precise arm motion control. To further expand the system's capabilities, a voice control system has been developed, enabling individuals to command the prosthetic arm through voice signals transmitted via Bluetooth. A user interface, supported by a microcontroller, facilitates real-time monitoring and oversight of all operations. This innovative prosthetic arm design offers significant benefits to individuals with below-elbow amputations, empowering them to regain independence in their daily lives. The primary objective of this research paper is to enhance the quality of life for physically disabled individuals, enabling them to reduce their reliance on others. This model holds tremendous practical value, particularly for individuals with hand disabilities who are unable to perform manual tasks. Furthermore, it serves as a valuable tool in academic settings, allowing undergraduate students pursuing robotics studies to gain hands-on experience in their curriculum. The work done & presented in this paper is the result of the final year one year project work that has been done by the final year engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the final stages of their engineering career and also to test the presentation skills during their final year project presentation and the work done & presented in this paper is the report of the undergraduate project work done by the students.

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